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Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry is looking for a talented Technical Enablement Director to help drive usage and adoption of our platform through education and enablement. This position will be responsible for strategy, planning, and end-to-end execution of training and educational programs, both internal for our employees, and external for our customers and partners. You are part product evangelist, part multimedia content producer, part teacher who loves to inspire and educate customers. You are a dynamic, thoughtful, creative professional who can translate technology with compelling stories, and uses analytical skills to drive continuous improvement. You will partner closely with cross-functional stakeholders including Marketing, Product, Engineering, and Design. This is a uniquely strategic and operational role with a mix of both internal and external responsibilities. This role requires strong technical expertise and a deep understanding of the Software Development Life Cycle (SDLC) and related technologies. If you’re a technologist with experience working with technical products in customer-facing roles—and you’re eager to join a fast-growing team delivering real value through an exceptional product—we’d love to meet you. In this role you will: - Become a Sentry product expert: be intimately familiar all product capabilities, and how how customers are using the product - Own the Sentry University virtual learning platform: prepare the curriculum, build the different learning units, create the content, and manage the overall user experience - Create a comprehensive training strategy to enable our customers to quickly ramp on our platform, and accelerate their TTV - Build out and operationalize an engaging certification program for customers, partners, and employees. - Design and own all end-user training content that will be used by CSMs and SEs to deliver to our customers and prospects - Create and deliver an instructor-led training curriculum that would inspire customers to use our product, through virtual group training, and in-person workshops (when it’s safe to travel!) - Work in close partnership with sales and marketing to track progress of leads within the Sentry University - Collaborate with Product and Engineering to ensure the enablement materials are always up to date, continuously update as needed, and meet standards of company branding, messaging and design. - Develop programs and training materials to drive the onboarding and ongoing technical enablement of our technical customer facing teams for topics related to our space (logging, monitoring, cloud, etc). - Develop KPIs that measure adoption and effectiveness of the training programs. You’ll love this job if you: - Enjoy talking about technology and interfacing with engineers and engineering leaders - Are looking to make an impact in the life of our customers through teaching them how use our product to achieve their business and technical goals - Appreciate working on a variety of projects with different stakeholders - Like being “in the middle of it all”, working across the organization to move the product forward - Have a fast-paced, results-driven mindset - Love developer tools, open-source, and/or all things software development life cycle Qualifications - Strong knowledge in the application monitoring field - 5+ year experience in technical training development and delivery - BA/BS degree in CS or Computer Engineering-related field or equivalent experience is mandatory - Strong verbal and written communications skills with an ability to build rapport and credibility with technical and business audiences - Strong presentation skills - Significant experience working with customers and partners, both remotely and in person - Ability to think out of the box to develop structured training plans, actions, and measurable metrics - Experience leveraging various learning tools and media to provide optimal learning EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote; Remote or Boston, MA Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We're a team of fiercely driven individuals committed to making healthcare more sustainable—and we're looking for passionate people to help us get there. For more information, visit arcadia.io. Why this role is important to Arcadia Arcadia is building a direct-to–Life Sciences commercial function as a strategic growth pillar of the company. The Director, Business Development - Life Sciences is an individual contributor seller responsible for building and closing enterprise relationships with pharmaceutical and biotechnology companies within an assigned account territory. This is a true end-to-end selling role. You will prospect and develop new opportunities, lead discovery conversations with scientific and commercial stakeholders, scope and price solutions, negotiate contracts, and partner closely with internal teams to ensure successful delivery and long-term client satisfaction. This role is designed for a life sciences seller with fluency in real-world data, analytics, and evidence-based solutions—someone who understands how pharma organizations buy across the development lifecycle and who wants to build a durable book of business inside Arcadia's growing direct Life Sciences sales organization.   What Success Looks Like In 3 months Build a deep understanding of Arcadia's Life Sciences data, solutions, operating model, and delivery capabilities Establish credibility and working rhythm with Product, Data, Ops, Delivery, Legal, and Finance Build a qualified pipeline within your assigned account territory, leveraging existing relationships and Arcadia's differentiated data assets Complete onboarding on Arcadia's Life Sciences value narrative, competitive positioning, and pricing framework In 6 months Advance a meaningful, qualified pipeline aligned to pharma planning and budgeting cycles Close at least one deal or be in late-stage contracting on priority opportunities Demonstrate strong deal scoping discipline with smooth handoffs into delivery Maintain accurate CRM hygiene and deliver a reliable forecast to your manager In 12 months Consistently attain quota with a 3-5x quota, well-qualified pipeline across your territory Close multiple deals with clear expansion potential, including at least one multi-year or enterprise agreement Build strong relationships with scientific, commercial, and procurement stakeholders where Arcadia is viewed as a trusted partner Provide market feedback that influences packaging, pricing, or roadmap prioritization What You'll Be Doing PROSPECT AND BUILD A QUALIFIED LIFE SCIENCES PIPELINE Proactively build pipeline in a green-field or assigned Life Sciences territory using conference presence, publication monitoring, thought leadership networks, hunting via warm and cold outreach, leveraging of BDR Team, and CRO or consultancy partnerships Identify and prioritize high-probability targets using a defined ideal customer profile: company size, therapeutic area focus, pipeline stage, and recent approvals Map multi-threaded stakeholder ecosystems across R&D, HEOR, medical, market access, and commercial teams at target accounts Maintain rigorous pipeline hygiene using a defined qualification methodology (e.g., MEDDIC, MEDDPICC, or BANT) to advance or deprioritize opportunities LEAD SOLUTION SELLING ACROSS THE PHARMA DEVELOPMENT LIFECYCLE Lead discovery conversations across early research, clinical development, HEOR/RWE, market access, and commercial analytics Translate complex client needs into well-scoped solutions that balance data, analytics, services, and delivery realities Guide clients toward use cases where Arcadia can deliver outsized value, not lowest-friction data transactions Align solutions to client budgeting and planning cycles, including annual and multi-year funding processes CONDUCT CONSULTATIVE, VALUE-BASED SELLING Lead structured discovery that surfaces business problems and internal success metrics before any product discussion Build ROI and business cases using the customer's own metrics and language, validated by the scientific or commercial champion Adapt selling approach and content to the buyer persona and Use Case - modulating message and proof points accordingly NEGOTIATE AND CLOSE COMMERCIAL AGREEMENTS Structure enterprise data agreements—licensing, DUAs, MSAs, usage-based pricing—that protect margin while delivering clear buyer value Exercise strong commercial judgment on deal structure, pricing, and scope, with a clear negotiating position and walk-away point on every deal Respond to procurement pressure by re-anchoring to validated scientific and commercial value rather than discounting immediately Own the full lifecycle: Opportunity qualification Solution design and scoping Proposal and SOW development Pricing and commercial structuring Contract negotiation and close Partner closely with legal, finance, and leadership to finalize terms efficiently COLLABORATE ACROSS TEAMS AND MAINTAIN FORECAST DISCIPLINE Partner effectively with data science, medical, product, legal, and delivery teams to configure and present solutions that meet complex customer requirements Orchestrate internal resources without over-committing them, and manage a clean handoff to delivery and customer success to protect revenue Maintain accurate, up-to-date CRM records and deliver reliable forecasts, distinguishing clearly between commit, best case, and pipeline Contribute market and competitive feedback that informs product roadmap, packaging, and pricing decisions What You'll Bring 5+ years of experience selling into pharmaceutical and/or biotechnology companies, ideally in a quota-carrying, individual contributor role Demonstrated success selling data-, analytics-, or evidence-driven solutions (RWD, RWE/HEOR, clinical analytics, or adjacent offerings) Deep working knowledge of Life Sciences functional area—HEOR, Medical Affairs, Clinical Development, or Payer/Market Access—including how that function makes decisions and purchases data and analytics solutions Proven ability to engage scientific buyers (PhDs, MDs, biostatisticians, epidemiologists) with credibility on methodology , study design, and data fit-for-purpose Experience structuring and negotiating enterprise data licensing agreements, including DUAs, MSAs, and usage-based pricing models A disciplined approach to pipeline management and forecasting, using a defined qualification methodology Strong cross-functional collaboration skills and comfort operating in a build-mode commercial environment Would Love For You To Have Existing senior relationships within pharma or biotech that can accelerate early pipeline development Familiarity with FDA RWE Framework, EMA guidance, or ISPOR methodology standards Experience selling into more than one Life Sciences functional area (e.g., both HEOR and Medical Affairs) Active presence in relevant industry conferences (ISPOR, ASCO, ASH, DIA, AMCP) and referral relationships with CROs or HEOR consultancies MEDDIC or MEDDPICC certification, or equivalent formal sales methodology training What You'll Get Arcadia brings a rare advantage to Life Sciences: a market-leading, scaled payer and provider platform as its foundation For more than a decade, Arcadia has been the trusted data and analytics partner to health systems, physician groups, and payers nationwide. That core business provides deep, longitudinal clinical and claims data, embedded clinical workflows, and durable relationships across the healthcare ecosystem Building on this foundation, Arcadia has assembled a large, de-identified real-world dataset combining claims and clinically rich EHR data sourced directly from provider systems. The result is a longitudinal, research-grade asset with depth and clinical context that is difficult to replicate through aggregation alone Life Sciences is a strategic pillar built on this foundation. Arcadia has made a deliberate, multi-year investment in: Purpose-built real-world data assets Clinically connected solutions that link insight back into provider workflows A growing research and collaboration ecosystem to expand data use rights Dedicated leadership, product, data, and operational resources The opportunity is to sell—and help shape—solutions that connect data, analytics, and real-world clinical activation across the pharma development lifecycle, backed by enterprise credibility and executive commitment This role is a founding, hands-on commercial leadership role, accountable for building the direct Life Sciences revenue engine, and deeply involved in shaping deals, messaging, and market positioning This role is not a channel-only or account maintenance role, a narrowly scoped quota-carrying role with a fixed playbook, and insulated from product, delivery, or execution realities About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Vice President of Hardware Quality to lead the vision, strategy, and execution of quality across our global hardware ecosystem. This leader will be responsible for ensuring quality is embedded throughout the product lifecycle — from early product development through manufacturing, supplier management, and field performance. Working closely with Hardware Engineering, Supply Chain, Operations, Membership Services, Finance, and manufacturing partners, you will build scalable systems, drive operational excellence, and create a culture of continuous improvement that enables WHOOP to deliver exceptional products and member experiences at scale. RESPONSIBILITIES: - Define and execute a comprehensive quality strategy spanning product quality, manufacturing quality, supplier quality, field quality, and containment across the hardware lifecycle. - Build, lead, and develop a world-class global quality organization that enables operational excellence and unlocks growth and scale. - Partner closely with Hardware Engineering and Product Development teams to ensure robust quality planning, validation, and risk mitigation throughout new product introduction and sustaining engineering activities. - Establish quality metrics, operating mechanisms, and executive reporting frameworks that provide visibility into quality performance, risks, and opportunities across the supply chain. - Drive closed-loop quality improvement initiatives by connecting field performance, reliability testing, manufacturing data, supplier performance, and product design insights. - Lead supplier quality programs, including qualification processes, factory audits, corrective and preventive actions, and strategic supplier development efforts across a global manufacturing network. QUALIFICATIONS: - 10+ years of leadership experience in hardware quality, manufacturing quality, supplier quality, or related functions supporting consumer electronics, wearable technology, or other complex hardware products. - Demonstrated success building and scaling high-performing quality organizations in fast-paced, high-growth environments. - Deep understanding of consumer electronics manufacturing processes, including electro-mechanical assemblies, PCB/SMT manufacturing, batteries, plastics, and critical component qualification. - Experience working with global manufacturing and supplier partners and managing quality across geographically distributed operations. - Expertise in quality systems and methodologies, including statistical process control, auditing, corrective and preventive action programs, root cause analysis, FMEA, Design for Manufacturing, Lean manufacturing, and Six Sigma principles. - Strong executive communication and stakeholder management skills with the ability to influence decisions through data-driven insights and cross-functional partnership. - Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Quality Engineering, or a related technical discipline. - Willingness and ability to travel up to 25% internationally to support manufacturing partners, suppliers, and quality initiatives. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $200,000-$300,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. THE ROLE We are looking for a Head of Customer Growth to build and lead the operating system that helps RevenueCat customers become better app businesses. This is broader than a traditional Customer Success role. It combines strategic account coverage, app-growth judgment, specialist advisory, customer education, product adoption, and scalable enablement. The goal is not to give every customer the same high-touch service. It is to identify where RevenueCat can create disproportionate value, deploy the right kind of help, and turn every successful customer intervention into knowledge that benefits the rest of the customer base. You will lead a multi-lane Customer Growth function spanning the CSM team, Growth Advisory, Growth Advocacy, and the emerging Customer Enablement function. The CSM Team Lead will own daily CSM execution. You will set the strategy, operating model, talent bar, investment plan, and measures of success for the function as a whole. For our highest-value customers, this means deep account context, growth diagnosis, stakeholder mapping, product-adoption strategy, technical-account coordination, and clear next-step ownership. For high-potential customers, it means identifying them early and providing the right help before revenue has fully materialized. For customers with specific growth bottlenecks, it means bringing in the right specialist. For the broader customer base, it means scalable education through Growth Advocates, lifecycle guidance, office hours, playbooks, templates, product nudges, and eventually dynamic next-best-action systems. Your job is to make Customer Growth one operating system rather than a collection of disconnected activities. WHY WE ARE HIRING FOR THIS ROLE NOW RevenueCat serves tiny indie apps, fast-growing startups, games, media companies, health and fitness apps, AI products, marketplaces, and some of the most sophisticated consumer app businesses in the world. The app market is top-heavy, so the human touch must be allocated deliberately. At the same time, a customer that is small today may become strategically important very quickly. Contract status and current revenue are necessary signals, but they are not sufficient. We already have many of the ingredients: CSMs, a CSM Team Lead role, Growth Advocates, Customer Growth Advisory specialists, Product, Support, Marketing, Sales, TAM, Data, and one of the richest datasets in app monetization. We need a leader who can turn those ingredients into a coherent function. WHAT YOU WILL BE RESPONSIBLE FOR - Own Customer Growth strategy across the full customer base. Define how RevenueCat helps customers grow after they begin using the product, including named accounts, high-potential customers, specialist-assisted customers, scaled customers, and the long tail. - Build segmentation and coverage. Use current value, future potential, adoption, intent, growth moments, risk, and strategic importance to decide who receives named CSM coverage, time-bound help, specialist advisory, scaled education, product-led guidance, or monitoring. - Lead through the CSM Team Lead. Set the bar for customer context, account strategy, stakeholder management, growth diagnosis, adoption planning, commercial awareness, and follow-through. Develop the Team Lead and create a strong leadership bench rather than becoming the permanent CSM manager. - Identify high-potential customers early. Work with Data, Product, Sales, Marketing, and Support to find customers with meaningful future potential before revenue alone makes them obvious. - Govern Growth Advisory. Define intake, qualification, expected impact, output quality, follow-through, and reuse. Specialists should be deployed against specific high-value problems rather than become general-purpose consulting capacity. - Make Growth Advocacy a customer-education channel. Ensure Growth Advocates turn real customer learning into authoritative one-to-many education for existing customers and the broader app ecosystem. - Build Customer Enablement and Scaled Growth. Create the roadmap for lifecycle programs, templates, office hours, documentation, automation, product nudges, and next-best-action guidance. - Drive meaningful product adoption. Partner with Product and Product Marketing so customers adopt RevenueCat capabilities in ways that help them win, rather than merely increasing feature activity. - Create clear cross-functional decision rights. Define how Customer Growth works with Sales, TAM, Support, Product, Marketing, and Data without turning CSMs into AEs, TAMs into a catch-all, or collaboration into meeting theater. - Build the customer-insight loop. Repeated customer questions should become product improvements, enablement, playbooks, benchmarks, documentation, lifecycle programs, and market education. - Own the function. Set metrics, operating cadences, headcount plans, budget, organization design, executive communication, and the talent bar across Customer Growth. WHAT SUCCESS LOOKS LIKE WITHIN THE FIRST MONTH - Meet directly with at least 15 customers across different sizes, growth stages, product footprints, and monetization models—including high-value, high-potential, at-risk, and scaled customers. - Take point on at least two live customer-growth situations. Work alongside the CSM, Advisory, TAM, Support, or Product partner to diagnose the problem, agree ownership, and move each customer to a concrete next milestone. - Ship at least one no-regrets improvement to a broken handoff, account motion, Advisory route, or customer experience rather than waiting for a complete strategy. - Establish a clear operating agreement with the CSM Team Lead and act on urgent customer, talent, or ownership issues. - Build a working view of the team, coverage, high-potential misses, lane boundaries, and metrics—deep enough to make decisions, without allowing analysis to delay action. WITHIN THE FIRST THREE MONTHS - Act as executive sponsor for a small set of strategically important or high-potential customers and personally lead at least two customer-growth interventions through a measurable milestone. - Put the first version of segmentation and coverage into production on real accounts, then revise it from evidence. - Run decision-oriented account reviews and a working Growth Advisory intake and follow-through motion. - Ship the first scaled education or Customer Enablement program based on a repeated customer need. - Make the first material changes to ownership, operating cadence, or talent where the current model is not working. - Establish a customer-insight loop that turns frontline evidence into owned Product, education, lifecycle, or process actions. WITHIN THE FIRST SIX MONTHS - Maintain direct customer contact every week and own selected executive relationships while leading the wider system through the CSM Team Lead and specialist leaders. - Operate a functioning multi-lane Customer Growth model with clear owners, live handoffs, and visible outcomes across CSM, Growth Advisory, Growth Advocacy, and Customer Enablement. - Have the CSM Team Lead independently owning daily CSM execution, coaching, and account quality. - Demonstrate measurable results from customer interventions and show that repeated one-to-one work is becoming reusable Advisory output, education, enablement, or product insight. - Have shipped multiple scaled programs and made concrete hiring or investment decisions for the function. WITHIN THE FIRST TWELVE MONTHS - RevenueCat has a trusted, actively used system for serving high-value, high-potential, specialist-assisted, and scaled customers. - Customer Growth produces measurable improvement in customer outcomes, meaningful product adoption, account health, renewal readiness, expansion quality, and customer revenue outcomes. - The Head remains directly connected to customers and is a trusted executive partner for selected strategic accounts. - The best customer work consistently becomes reusable product, education, and market leverage. - The function has a strong leadership bench and a record of shipping improvements without waiting for perfect information. WHAT YOU WILL NEED TO BE SUCCESSFUL - Approximately 10 or more years in Customer Success, Customer Growth, strategic accounts, Growth Advisory, product growth, lifecycle, monetization, or an adjacent customer-facing function. - Five or more years leading customer-facing teams, including managers, senior team leads, or specialist groups. - Evidence of owning an entire function or multi-lane operating model, not only managing an individual CSM team. - Experience building or materially rebuilding segmentation, coverage, strategic-account, adoption, health, advisory, or scaled-customer systems. - Strong commercial judgment around NDR, renewal risk, expansion influence, customer value, and executive alignment. - Credibility with mobile apps, app monetization, in-app purchases, paywalls, checkout, pricing and offers, lifecycle, retention, experimentation, analytics, or a closely adjacent domain. - Enough product and technical fluency to lead around a developer-facing platform while preserving clear ownership for TAM, Support, and Engineering. - Experience managing both generalists and specialists. - Evidence of turning repeated one-to-one work into scalable systems. - Strong written communication, directness, and remote-first operating habits. - Evidence of hiring, coaching, performance management, and raising the leadership and talent bar. IDEALLY, YOU - Have led CSMs and advisory, education, lifecycle, or enablement teams together. - Have scaled a customer-facing function through a major company-growth stage. - Have worked in a hybrid self-serve, product-led, and enterprise business. - Have firsthand experience as an app operator, growth leader, founder, or consultant. - Have built product-led or tech-touch Customer Success programs. - Have helped productize or commercialize an advisory or professional-services capability. WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. THE ROLE We are looking for a Head of Sales to build and lead the commercial system that converts RevenueCat's market position, product signals, and customer demand into dependable revenue, regardless of that revenue coming in the form of an immediate contract, a self-serve credit-swipe, or long-term expansion. In the ‘app monetization platform’ category, RevenueCat currently has about a 90% marketshare, ranging from the biggest apps in the world (ChatGPT, Ladder, VSCO) to a long tail of 100,000+ indies and startups vying to make it big. We only power roughly 25% of in-app revenue, though: The majority of apps still tries to build this themselves. Your job will be to show them the error of their ways. Not (just) to close a deal, but because we truly, deeply believe we will help them make more money. As the Head of Sales, you’ll lead the AE and Sales Engineering teams, bringing both teams together in a single, well-oiled machine. You’ll set the functional strategy, develop talent, own forecasting and results, and you’ll personally help move important opportunities forward without becoming the required manager or closer on every deal. WHY WE ARE HIRING FOR THIS ROLE NOW We have more opportunities than the current team can consistently identify, prioritize and pursue. Our reputation and market position produce consistent touch points with the majority of potential prospects, without those touch points turning into economic opportunities. At the same time, we’re rapidly expanding into new markets and product areas that need more proactive sales support than we can deliver. We need a leader who can make several motions work together without forcing them into one generic process: - Complex evaluations involving technical, business, security, legal, and procurement stakeholders. - Faster mid-market opportunities that require strong qualification and commercial momentum. - Self-exploration where customer behavior reveals an opportunity before a formal handraise. - Carefully researched outbound engagement with app businesses where RevenueCat has a specific reason to be useful. - Partner-sourced and selected regional motions whose economics must be demonstrated before they are scaled. The foundations exist: Account Executives, Sales Engineers, product and usage data, a respected brand, Growth Marketing, Partnerships, Revenue Operations, Product, Finance, and Customer Growth. This role will turn those ingredients into a successful Sales function. WHAT YOU WILL BE RESPONSIBLE FOR - Own the function. Set goals, metrics, operating cadences, headcount plans, budget, organization design, executive communication, and the performance bar across Sales. - Build a multi-motion Sales system. Define how strategic, mid-market, product-led, outbound, partner, and regional opportunities are identified, qualified, staffed, and advanced, across a growing product portfolio. - Create qualified pipeline beyond inbound. Develop focused account and outbound programs grounded in customer evidence, specific use cases, market events, and product signals rather than undifferentiated prospecting. - Close the coverage gap. Ensure high-potential product usage, sign-ups, inbound requests, support interactions, and target-account signals quickly result in a named owner and an intentional next action. - Build the team. We have good building blocks in place but the team needs to be significantly expanded to take on our current scale. Hire and developer exception talent, and define what makes a great sales team member at RevenueCat. - Remain close to customers. Participate in customer conversations every week and personally lead or support opportunities with unusual economic, technical, or organizational complexity. - Make the forecast useful. Establish definitions and inspection habits that distinguish real, qualified opportunity value from incomplete records, existing usage conversions, renewals, total contract value, or loosely influenced demand. - Help shape pricing and packaging. Bring a clear Sales point of view to cross-functional pricing and packaging decisions, using customer evidence to advocate for structures that support value, adoption, and durable growth. - Get cross-functional collaboration right. Define how Sales works with Customer Growth, Partnerships, Marketing, Finance, Revenue Operations, Product, Engineering, TAM, and Support without creating duplicate account ownership or executive rescue as the default operating model. - Create learning from every deal. Turn repeated discovery patterns, objections, migrations, wins, and losses into better playbooks, reusable assets, Product evidence, and team training. WHAT SUCCESS LOOKS LIKE We help even more apps make even more money, without turning Sales into the standard SaaS “spray and pray” factory WHAT YOU WILL NEED TO BE SUCCESSFUL - 5+ Year of experience leading Sales in a technically complex B2B environment, including responsibility for managers or senior team leads as well as individual contributors. - Success across multiple distinct motions such as strategic enterprise, mid-market, product-led Sales assistance, focused outbound, channel, or regional selling. - Experience creating qualified pipeline rather than depending entirely on inbound demand or a large SDR organization. - Enough product and technical fluency to talk to Engineering about a possible migration without relying on Sales Engineering for every conversation. - Fluency with pipeline inspection, forecasting, conversion data, capacity planning, and performance management. - Evidence of hiring, coaching, developing leaders, raising standards, and making difficult talent decisions. - Strong cross-functional collaboration with Product, Engineering, Marketing, Finance, Operations, Partnerships, and post-sale teams. - A desire to stay personally engaged with customers and live commercial work as the organization grows (and an understanding of why this matters). IDEALLY, YOU - Have worked in a product-led or usage-based business where self-service remains an important customer path. - Understand app infrastructure, payments, monetization, developer platforms, or another domain with meaningful implementation complexity. - Have built a productive Account Executive and Sales Engineering partnership. - Have experience with partner-sourced, international, or regional programs. - Have sold to buying groups spanning engineering, product, growth, finance, security, legal, and procurement. WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas. The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace. You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces. This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves. *Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. Key responsibilities Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement Minimum qualifications Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information Preferred qualifications Subject-matter depth in one or more of the portfolio's harm areas, from academia, clinical practice, civil society, government, or trust & safety work Experience working directly with model training or research teams on model behavior, or shaping the character of a deployed AI system Experience with generative AI safety systems, including LLM-based classification, evaluation, or enforcement pipelines Experience engaging external stakeholders in these domains — child safety organizations, election authorities, mental health experts, or regulators Experience using agentic AI tools to scale a team's analysis and operations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $330,000 — $395,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The next wave of enterprise transformation is being built by the Global Systems Integrators and every one of them is racing to stand up AI transformation and AI governance practices for their clients. Docker's AI Governance strategy is the natural infrastructure layer underneath that motion, and we need a senior partner leader to make that connection real, commercially, at scale. We're looking for a Principal, GSI & SI Partnerships to build and lead Docker's engagement with the world's largest consultancies and systems integrators; Accenture, Deloitte, EY, KPMG, and others, as both a strategic force multiplier for our AI Governance narrative and a tactical revenue engine through co-sell. This is a dual-altitude role. At one level, you are the executive relationship-holder who gets Docker a seat at the table inside GSI AI practices; shaping how they build, package, and go to market with AI transformation offerings. At the other, you are the operator who turns those relationships into pipeline: enabling sales teams, building joint plays, and driving deals to close. You will define how Docker becomes the trusted infrastructure partner GSIs build their AI consultancy motions on top of and how they make money doing it. KEY STAKEHOLDERS & CROSS-FUNCTIONAL PARTNERSHIPS - Primary: CRO and Sales Leadership; Global Alliances Leadership; Partner Leadership Team - Primary: Professional Services, Field Sales and Solutions Engineering teams (co-sell enablement and execution) - Secondary: Product Marketing, Demand Generation, Ecosystem Marketing - Secondary: Cloud & Channel Partnerships, Technology Alliances, Product Management - External: Accenture, Deloitte, EY, KPMG, and other GSIs/SIs including their AI/GenAI practice leadership, industry verticals, and delivery organizations RESPONSIBILITIES GSI Strategy & Executive Engagement - Own Docker's global GSI/SI partnership strategy, prioritizing and sequencing engagement across Accenture, Deloitte, EY, KPMG, and other top-tier consultancies. - Build and sustain executive-level relationships with GSI AI/GenAI practice leaders, identifying where Docker's AI Governance capabilities plug directly into their existing AI transformation and consulting offerings. - Develop the strategic narrative and business case that positions Docker as the infrastructure and governance layer GSIs need to de-risk and scale their clients' AI initiatives. - Represent Docker in executive briefings, QBRs, and joint planning sessions with GSI leadership, establishing Docker as a preferred, differentiated partner rather than a vendor line item. - Partner with Professional Services and field teams to both share appropriate service assets and build the service’s capabilities Docker needs in the partner ecosystem to serve our mutual customers. Commercial Model & Monetization - Design and articulate a clear "how GSIs make money with Docker" story, connecting Docker's AI Governance platform to GSI services revenue, delivery methodologies, and staffing models. - Build joint solution offerings and packaged plays with GSIs that combine their advisory/delivery capability with Docker's platform, creating a repeatable, sellable motion for both sides. - Negotiate and structure commercial frameworks (referral, resale, co-delivery) that align incentives and make Docker an attractive, profitable practice area for GSI partners. Align with Professional Services to build the service partner capacity needed to augment PS. Tactical GTM & Co-Sell Execution - Own end-to-end co-sell execution with GSI partners, from lead generation and account mapping through joint pursuit and deal closure. - Partner directly with Docker's field sales organization to identify target accounts, build joint account plans, and drive GSI-sourced and GSI-influenced pipeline. - Build the enablement infrastructure (playbooks, battlecards, training) that equips both Docker sellers and GSI teams to identify, position, and close joint opportunities. - Establish a consistent cadence of joint pipeline reviews with GSI partners and internal sales leadership, ensuring strategic intent translates into closed revenue. AI Governance Practice Integration - Work closely with Product and Product Marketing to translate Docker's AI Governance framework (Containment, Curation, Control) into language and assets GSI practices can readily adopt into their own AI transformation offerings. - Identify and prioritize the GSI industry verticals and use cases (e.g., regulated industries, agent-based transformation) where Docker's governance story creates the clearest differentiation and urgency. - Partner with GSIs to co-develop points of view, joint IP, and reference architectures that embed Docker into their AI transformation methodology. Team & Program Leadership - Build out the GSI/SI partnership function as it scales — defining coverage models, hiring needs, and operating rhythms as engagement deepens across additional GSIs. - Serve as a member of the Partner Leadership Team, contributing GSI/SI strategy and results to the broader partner ecosystem narrative. - Report on GSI-sourced and GSI-influenced pipeline and revenue, practice development progress, and joint GTM plan execution to executive stakeholders. QUALIFICATIONS - 12+ years in partnerships, alliances, or GTM leadership, with substantial direct experience building and running relationships with GSIs/SIs (Accenture, Deloitte, EY, KPMG, or similar) at a B2B SaaS, infrastructure, or enterprise technology company. With strong existing network at the GSI senior exec level. - Proven track record of building joint commercial models with GSIs and converting relationships into measurable co-sell pipeline and revenue. - Experience navigating GSI internal structures, practice leadership, industry verticals, delivery organizations and knowing how to get a technology partner embedded into their offerings. - Familiarity with AI/GenAI transformation programs, consulting delivery models, and how GSIs structure and monetize AI advisory and implementation work. - Background in developer tools, cloud-native infrastructure, or AI/security ecosystems is a strong advantage. SKILLS & COMPETENCIES - Executive presence with the credibility to engage GSI practice leaders and partner C-suite as a peer. - Dual fluency in strategy and execution, equally comfortable shaping a multi-year GSI strategy and running a weekly pipeline review with field sales. - Strong commercial and deal-structuring acumen; able to design win-win economics that make Docker a priority practice for GSI partners. - Skilled cross-functional operator, able to align Sales, Product, and Marketing behind a coherent GSI engagement motion. - Data-driven: comfortable owning GSI-sourced/influenced pipeline reporting and practice development metrics. - Excellent narrative and positioning skills, able to translate Docker's AI Governance story into language that resonates with consulting and advisory audiences. LEADERSHIP & MINDSET - A senior partner leader who has built a GSI/SI function from the ground up and knows how to earn a seat inside a consultancy's practice, not just a line on their partner list. - Comfortable operating at the intersection of strategic influence and tactical deal execution, this is not a purely strategic or purely operational role. - Global mindset, with the ability to prioritize and sequence engagement across a portfolio of GSIs and geographies. - Genuinely energized by the opportunity to hitch Docker's AI Governance story to the world's largest AI transformation engines. - Key Performance Indicators - GSI-sourced and GSI-influenced pipeline and revenue growth - Number and depth of active joint GTM motions with priority GSIs (Accenture, Deloitte, EY, KPMG, and others) - Executive relationship coverage and engagement depth across target GSI AI practices - Joint offering/IP development milestones (co-branded solutions, reference architectures, playbooks) - Field sales adoption and utilization of GSI co-sell enablement and plays Docker does not offer visa sponsorship for this role. Compensation & Equity United States: $203.7K – $291K OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Finance Data Governance Consultant (Contract) *This is a 12 month temporary assignment Sony Interactive Entertainment is seeking an experienced, hands-on Finance Data Governance consultant to help establish and operationalize SIE’s Finance Data Governance capability. The role will partner across Finance and Technology to define governance standards, document critical Finance data and lineage, establish data quality controls, govern master data and hierarchies, and support priority Finance data products. The ideal candidate should have 8+ years of experience in data governance, Finance transformation, or Finance data management, with strong knowledge of financial processes and systems. Experience with SAP S/4HANA, Snowflake, data catalog/governance platforms such as Atlan or Collibra, and enterprise reporting tools is preferred. The candidate should be comfortable working independently in a greenfield environment and translating complex Finance and technical requirements into practical, sustainable governance processes. Responsibilities: Establish the Finance Data Governance Foundation Assess the current maturity of Finance data governance, documentation, ownership, controls, and data management practices. Design and implement a practical Finance Data Governance operating model, including roles, decision rights, governance forums, workflows, escalation paths, and operating cadences. Create governance standards, procedures, templates, decision logs, issue-management routines, and approval processes that Finance and Technology teams can use in practice. Build the Finance Data Inventory and Business Glossary Identify and inventory priority Finance data domains, systems, tables, reports, interfaces, data products, calculations, mappings, and critical data elements. Document business definitions, ownership, stewardship, approved usage, security classification, refresh frequency, and downstream dependencies. Resolve conflicting definitions across Accounting, FP&A, management reporting, statutory reporting, and regional Finance teams. Prepare metadata for publication in an enterprise data catalog and establish workflows for maintaining, reviewing, approving, and retiring governance documentation. Document Data Lineage and Finance Transformation Logic Map data from source systems through integration, transformation, consolidation, reporting, and analytical consumption. Document business rules, transformation logic, mappings, allocations, eliminations, adjustments, currency translation, and reconciliation points. Identify manual transformations, uncontrolled spreadsheets, duplicated logic, missing ownership, and lineage gaps, and support impact assessments for upstream changes. Partner with technical teams to distinguish business lineage from physical and technical lineage. Establish Data Quality and Financial Data Controls Define practical Finance data quality standards, rules, thresholds, monitoring requirements, and acceptance criteria. Build a data quality rule inventory and support issue identification, triage, root-cause analysis, ownership, remediation, escalation, and closure. Develop data quality scorecards and maintain traceable and auditable evidence for approvals, exceptions, reconciliations, and remediation activities. Govern Finance Master Data and Hierarchies Document and govern Finance master data, reference data, mappings, and hierarchies, including accounts, cost centers, profit centers, entities, products, regions, currencies, scenarios, and reporting periods. Define ownership, approval, versioning, effective dating, and change-control requirements. Partner with master-data and technology teams on future hierarchy-management and Master Data Management initiatives, including business requirements, process design, testing, and downstream-impact assessment. Support Priority Finance Data Products Apply governance standards to priority Finance data products and procedures. Support documentation and validation of SAP financial and consolidation data, including ACDOCA and ACDOCU where applicable. Help document data flows and reconciliation requirements across SAP, consolidation and reporting platforms, Snowflake, Domo, planning tools, and downstream reports.· Support the development of governed enterprise context and semantic layers for reporting, analytics, and AI-enabled Finance use cases. Drive Adoption and Manage Delivery Facilitate workshops, prepare executive-ready updates, develop training materials, and coach data owners and stewards on their responsibilities. Translate complex Finance and technical concepts into clear documentation and decisions. Establish a repeatable onboarding approach for new data domains and data products. Promote governance as an enabler of faster, more reliable reporting and analytics rather than as an administrative exercise. Develop and maintain a prioritized governance backlog with defined owners, deliverables, dependencies, and completion criteria. Work independently, identify missing requirements, and move ambiguous work toward resolution. Required Qualifications: 8+ years of experience in data governance, Finance data management, Finance transformation, financial systems, data quality, metadata management, or related consulting roles. Demonstrated experience establishing or materially improving a data governance and data strategy capability in a complex enterprise. Strong understanding of Finance processes, including general ledger, management reporting, financial consolidation, planning, forecasting, close, and reconciliation. Experience documenting financial data definitions, business rules, mappings, hierarchies, lineage, controls, and data quality requirements. Experience partnering with Finance, Accounting, FP&A, data engineering, business intelligence, security, and enterprise technology teams. Ability to distinguish business ownership and governance responsibilities from technical platform and engineering responsibilities. Strong facilitation skills and the ability to drive decisions across stakeholders with different priorities. Demonstrated ability to create detailed, usable deliverables with limited existing documentation or structure. Strong written communication skills with the ability to produce both detailed working documentation and executive-level summaries. Experience working in a consulting, transformation, or contractor environment where measurable deliverables and knowledge transfer are required. Ability to operate independently in an ambiguous, fast-moving, greenfield environment. Bachelor's degree or equivalent. Preferred Qualifications Experience with SAP S/4HANA Finance and related financial data structures, consolidation, or group reporting (e.g., ACDOCA, ACDOCU). Experience with cloud data platforms, enterprise analytics/reporting tools, and data governance/catalog platforms (e.g., Snowflake, Tableau, Power BI, Domo, Atlan, Collibra, Purview, or similar). Strong understanding of data quality and architecture, including SQL, data profiling/reconciliation, dimensional modeling, semantic layers, hierarchies, and modern data architectures. Experience working with Finance data in SOX-controlled or audit-sensitive environments, including data supporting automation and AI; consulting, Finance transformation, or enterprise data advisory experience preferred. #LI-SV1 At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below. $129,600 — $194,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible. About the role We're looking for a Partnership Manager to grow our AI for Science Program . You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains. In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI. Responsibilities: Execute Anthropic's AI for Science API credit program, managing day-to-day partnerships with academic labs, small start-ups, and potentially foundations Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities Manage timelines, resource requirements, and regular reporting associated with the AI for Science program Work closely with partners to understand their technical and operational needs and translate them into deployment plans Comfort with early technical prototyping and testing to help learn alongside and unblock partners Contribute to a research agenda for understanding AI's impact on individual labs across domains Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem Represent Anthropic at global scientific convenings and conferences Help shape team processes and culture as we scale our Life Science work You may be a good fit if you have: 2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Analytical mindset with experience using data to inform strategy and measure impact An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project A genuine drive to maximize impact for underserved communities High agency and comfort with ambiguity; you thrive when you're building the plane while flying it Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities Willingness to travel for occasional partner visits and conferences Strong candidates may also have: Experience managing external partnerships, grantmaking, or multi-stakeholder initiatives Experience working with philanthropic foundations on science funding Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product Background in wet lab research with an ability and aptitude for scientific communications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 — $215,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Anywhere Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE We’re building something game-changing at Circle: a discovery marketplace where millions can find creators, communities, and products to help them achieve their highest personal and professional goals. You’ll own generating and growing the demand engine for the Discover marketplace. Think of a Pinterest, Reddit or Instagram-style product, reimagined with a mission to help people achieve their goals instead of distracting them with endless doom scrolling. Through Discover, you will be building technology that could help millions of people grow, self-actualize, and live their best lives. As the Growth Lead for Discover, you’ll report directly to the GM of Discover and work closely with Circle's co-founders to bring this vision to life. Day to day you'll work with the product team for Discover, our paid media team, data team, brand and design studio, lifecycle marketing, partnerships, and more. This is a fully remote role, open to candidates in any North American time zone. WHAT YOU'LL BE DOING - Own growth for the Discover marketplace. Drive traffic to Discover, experiment with how consumers find and engage with Discover, and grow its GMV and transaction volume. - A/B testing and experimentation. Run experiments to better acquire, engage, and retain traffic. Test what people see when they arrive on Discover, the algorithms behind recommendations, and marketplace structure. - Build Circle's end-to-end lifecycle email programs. Build the acquisition funnel for Discover by setting up a recommendations newsletter, creating offers to acquire subscribers, and developing email programs to turn visitors into repeat buyers. - Build an SEO program. Grow Discover's organic surfaces and SEO / AEO across product pages and distribution partnerships with the creators already building on Circle. - Drive creator success on the marketplace. Help creators listed on Discover succeed by sending them buyers who convert and stay, diagnosing which categories generate traffic but underconvert, and applying those learnings across the marketplace. - Build the team's reporting. Track funnel performance by category, cohort retention of Discover-sourced members, and what individual creators earn from the marketplace, and own reporting on performance and recommendations to leadership. - Help shape and execute Discover's growth strategy. Partner with the GM of Discover and co-founders to shape growth priorities and collaborate with the product team to evolve the product. WHAT YOU'LL NEED TO BE SUCCESSFUL - A track record of owning a revenue or GMV number across multiple channels at one time, where you were able to grow the number and deliver real results. Ideally, you can walk us through what moved the number, what worked, and what you got wrong. This matters a lot more to us than your title or how many years you've been doing this. - Experience with email and lifecycle marketing, including building a program from scratch. You should have a clear view of what it should be judged on beyond opens and clicks. - Experience acquiring email subscribers profitably and growing their value over time. This mechanic is going to be key here: bring someone in for less than they'll eventually spend, then earning more from them by delivering real value to both them and the creator. - Comfortable being hands-on as a player-coach. This includes writing the emails, building the pages, talking to the creators, setting up reporting, and reading the results yourself. - Deep understanding of marketplaces and/or businesses with strong network effects. Ideally, you’re someone who obsesses about marketplace network effects, and shows strong judgment and opinions on growing the demand side of a marketplace. - Learn fast, experiment aggressively, and thrive in a highly dynamic environment. You’ll need to be comfortable running a lot of experiments and letting the results settle the argument, including the ones that don't work (which will be many of them in the beginning). - Comfortable in a fast-paced environment with ambiguity. You’ll need to learn and pick up new technologies when projects require it. - Exceptional written and verbal communication skills in English (CEFR C2 or equivalent https://englishonline.britishcouncil.org/free-english-level-test-cefr-2/), as most collaboration at Circle happens asynchronously. COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI compute at a scale and pace that outruns what off-the-shelf data center equipment was designed for. Much of the power and cooling equipment behind our next campuses — battery energy storage systems (BESS), grid-forming and grid-following inverters, solid-state transformers (SST), E-STATCOM and other power-quality devices, medium-voltage switchgear, UPS, and liquid-cooling systems — is either new to the market, new to the supplier, or being built at a volume the supplier has never shipped before. The NPI Engineer owns the path from "the supplier has a design" to "the equipment is qualified, manufacturable at rate, and running reliably on site." You sit between our electrical and mechanical design teams, our supply chain and quality teams, and the supplier's engineering and factory organizations, and you make sure every new product or major variant clears the gates — EVT, DVT, PVT, FAT, SAT — before it is trusted with production load. This is a hands-on role: you will spend real time on supplier factory floors, in test labs, and at site commissioning. What you'll do Own the NPI program for each new power or cooling product (BESS, inverters, SST, E-STATCOM, MV switchgear, UPS, CDUs, chillers) from concept selection through ramp, including the gate schedule, exit criteria, and risk register. Drive early supplier design engagement: translate our site requirements (fault current, grid interconnection, harmonic and ride-through requirements, thermal envelopes, footprint, serviceability) into product requirements and specifications the supplier can build to, and negotiate trade-offs with their engineering teams. Lead DFM/DFT/DFx reviews with suppliers so designs are manufacturable at the rate we need, testable in the factory, and serviceable in the field. Plan and run prototype and pilot builds: define EVT/DVT/PVT scope and sample counts, witness builds, own test plans (type testing, HALT/HASS, thermal, EMC, protection coordination, functional and integration tests), and drive root cause and corrective action on every failure. Qualify the product for deployment: define and execute first-article inspection, factory acceptance testing (FAT), site acceptance testing (SAT), and integrated system testing with the rest of the electrical and cooling chain, and sign off on production readiness. Hand off to steady state: transfer qualified products, control plans, test procedures, and known-issue lists to the Manufacturing Quality and Supply Chain Delivery teams, and support them through the first production ramps. Build the reliability picture: run FMEA/DFMEA with suppliers, define reliability targets and burn-in requirements, and feed field failure data back into the next revision. Coordinate cross-functionally with design engineering, construction, commissioning, utilities/interconnection, safety, and sourcing so NPI schedules are integrated with campus delivery schedules. Keep suppliers honest: track readiness and risk with clear metrics, escalate early, and hold technical reviews that resolve issues rather than admire them. You may be a good fit if you have 8+ years of engineering experience in power electronics, electrical equipment, or industrial energy systems, with at least 4 years in an NPI, product development, or product engineering role that owned a product from prototype through production ramp. Direct, hands-on experience with at least two of: BESS, utility- or data-center-scale inverters, medium-voltage transformers or switchgear, UPS, STATCOM/power-quality equipment, or liquid cooling systems (CDUs, chillers, hydronics). Working knowledge of the relevant standards and how they get applied in qualification: UL 9540/9540A, UL 1741 and IEEE 1547, IEEE 2800, IEC 62477 / IEC 62909, IEEE C37 and C57 series, NFPA 70/855, UL 1778, and comparable IEC equivalents. Experience defining and executing structured qualification programs (EVT/DVT/PVT, FAT/SAT, type testing, reliability testing) and closing failures with disciplined root cause analysis and CAPA. Familiarity with supplier factory environments — production lines, test bays, quality systems — and the ability to assess a supplier's real readiness to ship at rate. Fluency in design-for-manufacturing and design-for-test principles and the supplier ECO/change-control process. Strong systems thinking: you can reason about how an inverter, a battery, a transformer, and a cooling loop behave together at a site, not just in isolation. Clear written and verbal communication, and comfort driving decisions across engineering, supply chain, and executive audiences. A bachelor's degree in electrical, mechanical, or power engineering, or equivalent experience. Willingness to travel 30–40% to supplier factories and data center sites, including internationally. Strong candidates may also have Experience with solid-state transformers, grid-forming inverters, E-STATCOM, or other emerging power-conversion equipment being introduced to data center or utility applications for the first time. NPI or product engineering experience at a hyperscaler, a large utility-scale developer, or a Tier-1 power equipment OEM. Background in grid interconnection studies, protection coordination, or power-system modeling (PSCAD, ETAP, PSS/E, or similar). Liquid cooling product introduction experience — CDU, rear-door heat exchanger, direct-to-chip, or immersion systems. Reliability engineering credentials (CRE, Six Sigma) or experience running HALT/HASS programs. Firmware and controls validation experience for power conversion equipment (inverter control loops, BMS, EMS, PLC/SCADA integration). Experience standing up or scaling new supplier manufacturing lines, including contract manufacturing and international sites. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: England; Portugal; Spain; Italy; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies. This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion. You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments. RESPONSIBILITIES Build and Scale the Professional Services Practice - Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners. - Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency. - Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap. - Identify offerings that drive product expansion, renewals, and long-term customer value. - Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners. Drive Strategic Customer Outcomes - Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains. - Lead technical discovery and architecture engagements that span enterprise integration layers - Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design. - Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform. - Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. - Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met. Enable Cross-Functional Success - Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines. - Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities. QUALIFICATIONS REQUIRED - 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm. - Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries. - Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments. - Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns. - Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security. - Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance. - Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority. - Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization. - Recognition by enterprise customers as a strategic technical advisor. BONUS - Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns. - Background enabling system integrators, consultancies, or partner ecosystems. - Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government. - Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications. WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker's mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers. - Build strong partnerships with Product, Engineering, and Sales functions. - Plug into the team's rhythm of business (standups, reviews, shadow customer engagements). FIRST 90 DAYS - Scope, define SOWs, delivery, and oversight of customer service engagements. - Participate in the creation of reference architectures for key use cases.. - Participate in initiatives to build out and improve the services department's offerings. ONE-YEAR OUTLOOK - Successful delivery and oversight of customer service engagements. - Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices. - Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team. Docker does not offer visa sponsorship for this role.   Compensation & Equity EU: €119K – €170K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . Job Summary As a Customer Experience Manager II (CEM II) – Federal at Bugcrowd, you will be a strategic partner to our Federal customers, helping them maximize the value of Bugcrowd’s cybersecurity platform and services. You will own a portfolio of Federal and State and Local  accounts and serve as the primary point of contact across the customer lifecycle from onboarding and adoption through renewal and expansion. This role is ideal for someone who understands the unique needs of Federal customers and can successfully navigate complex organizations, multiple stakeholders, procurement processes, security requirements, and mission-driven environments. You will also partner cross-functionally with Sales, Solutions Engineering, Operations, Product, Security, and Professional Services to advocate for customers and drive successful outcomes. Essential Duties & Responsibilities Own a portfolio of Federal customers and develop trusted relationships with key technical, security, program, procurement, and executive stakeholders. Serve as the primary customer advocate and point of contact throughout the customer lifecycle. Develop a deep understanding of each customer's mission, cybersecurity strategy, organizational structure, and priorities. Build multi-threaded relationships across customer organizations to strengthen partnerships and reduce renewal risk. Develop and execute customer success plans aligned to Federal customer objectives and cybersecurity priorities. Drive adoption and utilization of Bugcrowd products and services to ensure customers realize measurable value. Conduct regular business reviews and executive-level conversations focused on outcomes, program performance, and strategic priorities. Ensure comprehensive oversight of account health, user adoption metrics, and any emerging risks to the partnership. Education, Experience, Skills, & Abilities 3+ years of experience in Customer Success, Customer Experience, Account Management, or a related customer-facing role within cybersecurity or SaaS. Experience working with Federal Government, DoD, intelligence, civilian agencies, or Federal contractors. Strong understanding of cybersecurity and the challenges faced by Federal organizations. Experience managing complex enterprise accounts with multiple stakeholders. Demonstrated ability to manage renewals, retention, and account growth. Strong executive presence and communication skills. Ability to build relationships with both technical and non-technical stakeholders. Strong project management and organizational skills with the ability to manage a large portfolio of accounts. Ability to navigate complex procurement, contracting, and organizational processes. Comfortable working in a fast-paced, highly collaborative environment. Strong business acumen and the ability to connect cybersecurity solutions to customer outcomes. Working Conditions The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and/or standing - Must be able to remain in a stationary position 50% of the time Carrying and /or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time. Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for this position is $83,200 - $114,400. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests Monitor legal developments in government access to user data and advise the team on their operational impact Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously Experience owning an intake, queue, or docketing process end to end,  including deciding what gets escalated and maintaining rigorous tracking Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies Experience building or scaling a law enforcement response process Experience managing legal intake process within a growing company Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 — $220,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams Track record of selling technical products in competitive markets Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns Passion for making powerful technology safe and societally beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Colombia; Costa Rica Workplace: remote Provectus is a Premier AWS Partner and an Anthropic partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Healthcare and Life Sciences, Retail, and Entertainment. We build custom systems on live client data, not off the shelf products and not demos. We are opening a Solution Owner seat on our Delivery team in Colombia and Costa Rica. This is an early career seat, but it is not a training seat. You will sit between the client and the engineering team on a real engagement, own a slice of scope, and be expected to figure out the next step yourself. The profile we are looking for is specific: you started technical, as a software, data, or ML engineer, and you have already moved toward the business side of building products, or you are ready to make that move now. You are the person on the team who automates their own work with AI tools before anyone asks. What You Will Do: Own a defined slice of a client engagement, from use case framing through backlog, release, and result Run discovery sessions and workshops with client stakeholders, and turn what you hear into written scope engineers can build against Translate technical constraints into business language, and business goals into technical requirements Maintain a groomed backlog with sized, technically specific stories, and drive sprint planning and release cadence Prototype rapidly on live client data using our delivery stack, including Claude, Claude Code, MCP servers, and Skills Work alongside GenAI and agentic AI builds, including RAG, agent workflows, and LLM integrations, closely enough to judge quality and explain trade offs Define success metrics for your slice of scope and report progress honestly, including when something is not working Build reusable artifacts, demos, and documentation so the next engagement starts faster than yours did Partner with Principal Architects, Forward Deployed Engineers, and account teams across US and LATAM time zones What You Will Bring: 2 to 4 years of total professional experience, including hands on engineering time as a software, data, or ML engineer At least 1 year in a product, delivery, or client facing role such as Product Owner, Technical Product Owner, Business Analyst, Delivery Lead, or equivalent Daily use of GenAI tools in your own workflow, Claude and Claude Code preferred, with concrete examples of workflows you redesigned Ability to read code and technical documentation well enough to hold a real conversation with senior engineers Practical Agile and Scrum experience: backlog, sprints, planning, retrospectives Written and spoken English at B2 or above, comfortable leading a client call without a manager in the room Self direction as a default. You are given a goal and ambiguity, not a task list, and you move anyway Based in Colombia or Costa Rica Nice to Have: Exposure to Financial Services and Insurance or Healthcare and Life Sciences clients Working understanding of GenAI concepts: prompt engineering, RAG, embeddings, vector databases, agentic patterns Familiarity with AWS, especially Bedrock, SageMaker, Lambda, or S3 Experience shipping an LLM or RAG feature that reached real users Experience building your own automations, scripts, MCP integrations, or internal tools Consulting or professional services background Certifications such as CSPO, SAFe PO/PM, or AWS Cloud Practitioner What We Offer: Real client delivery on frontier AI from month one, not shadowing Direct access to Principal Architects and Forward Deployed Engineers as your working peers Anthropic and AWS partnership work, with early access to tooling and premium AI subscriptions Internal training programs and full support for AWS and Claude certifications A clear growth path toward Senior Solution Owner or Solutions Architecture Remote work with flexible hours across US and LATAM overlap Long term B2B collaboration Equipment budget and all the tooling you need

Location: Limassol, Cyprus Workplace: on-site Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations. We are seeking an experienced Brand Marketing Team Lead. Job responsibilities Own the brand marketing strategy and always-on marketing engine, driving awareness, acquisition, activation, engagement and retention. Translate brand, business and product priorities into clear campaigns, channel plans, briefs and marketing calendars. Lead, mentor and develop the Brand Marketing team, setting clear priorities, ownership and accountability. Manage integrated campaigns, product launches, promotions and key marketing initiatives from brief through execution and optimisation. Partner closely with Product to develop and execute GTM plans for new features, launches and platform updates. Coordinate with Community, Events, E-Commerce, Copy, Support, Business Development and other teams to ensure aligned execution. Build scalable marketing workflows covering planning, briefing, production, approvals, launch and reporting. Ensure all marketing activity is consistent with the brand positioning, voice and visual identity. Define KPIs and measurement frameworks, using performance, audience and market insights to improve results. You’ll thrive here if you have 8+ years of experience in brand, integrated, campaign, live-service or consumer marketing. Proven experience building and executing full-funnel marketing strategies for digital platforms or creator-driven businesses. Strong experience running always-on marketing and managing multiple campaigns simultaneously. Proven leadership experience managing multidisciplinary teams. Strong understanding of brand positioning, audience insights, channel strategy and GTM. Excellent marketing operations and project management skills, with experience building scalable workflows and processes. Strong cross-functional leadership and stakeholder management skills. Data-driven mindset with experience defining KPIs and turning insights into action. Excellent communication, strategic thinking and execution skills. High ownership, accountability and ability to work independently. Bonus: Experience in creator platforms, entertainment, gaming, community-led brands, live-service businesses or adult entertainment. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city centre, with everything you need for deep work and collaboration. Free breakfasts and lunches at the office, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (45 min) Technical interview (1 hour) Task test Final interview (1 hour) Job offer

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment. Your Mission & Who We Are Looking For: - Programmatic AdTech Domain Expertise: 3–4 years of Product Management experience (with at least 3 years directly in Programmatic, Ad Exchange, SSP, or DSP environments) to lead our DSP-facing ad exchange capabilities across their full lifecycle. You thrive when dissecting OpenRTB specs, auction mechanics, and mobile formats (video, playable, native, display) to turn programmatic complexities into clear product roadmaps. - Technical Infrastructure & API Fluency: Hands-on comfort working alongside senior engineers to parse system architecture, API designs, JSON data payloads, and latency tracking. You will bridge technical execution with business strategy across a platform running 20+ Go microservices on Kubernetes and Kafka, orchestrating 1,500 bid requests per second. - Auction Mechanics & Traffic Shaping: Deep analytical capability to optimize win rates, timeout rates, bid density, and Supply Path Optimization (SPO). You will design smart throttling and routing logic that reduces infrastructure QPS costs while maximizing revenue across 120M processed auctions daily. - Cross-Functional Partner Integration: Direct technical collaboration with the Demand Partnerships team and external partners to lead DSP onboardings and maintain OpenRTB compliance. You act as the translation layer between client feedback, external demand needs, and detailed Product Requirements Documents (PRDs). - Data-Driven Metric Ownership: Relentless focus on defining and monitoring core performance indicators including fill rate, bid rate, CPM, and eCPM. You will partner with data teams to analyze complex data sets, troubleshoot technical issues, and measure feature performance alongside ML models making 50 billion daily predictions. - Agile Product Delivery: Proven track record of owning end-to-end execution, experimentation, and scaling in an Agile environment. You manage multi-stakeholder dependencies cleanly and ship high-throughput features iteratively without sacrificing low-latency requirements. 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.